One 90 minute interview and done, and they MUST be able to meet the hiring timeline outlined below. There are no exceptions being made if they can’t make the day.
- October 6: Hiring Day – all interviews will be in person in Rockville
- Role will be hybrid in Rockville, Maryland
- Rate: max for mid $40, for senior $48 per hour on W2
ROLES!
GenAI / Investigations Engineering
Levels: Mid and Senior
- Mid-level: 5+ years of experience
- Senior-level: 7+ years of experience
Project: Building GenAI-based insights and tools for investigators to help them conduct investigations more efficiently. The work will include building integrations and bringing new capabilities into production.
Key Skills / Profile
- Strong application/software engineering background
- Java and/or Python
- AWS, including lightweight/serverless Lambda-based development
- Experience managing production systems
- Experience taking new applications/systems into production
- Familiarity with AI-assisted development/code-generation tools
- Kiro experience is helpful but not required; comparable AI development tools are acceptable
- Comfortable integrating GenAI capabilities into engineering workflows
CAT-Based Response System / Data-Heavy Engineering
Project: New CAT-based response system focused heavily on large-scale trade data. The initiative is moving away from the traditional Blue Sheets mechanism, where investigators request PII and trade data, toward using CAT-based data to support investigations while reducing reliance on PII.
This is a highly collaborative initiative involving multiple teams, including a gateway team, with downstream impact to surveillance capabilities.
Key Skills / Profile
- Strong software/application engineers with a solid understanding of data
- Strong algorithmic/problem-solving skills; ability to identify patterns and relationships across large datasets
- Java or Python
- Strong AWS knowledge
- AWS Glue
- Athena
- ETL/data processing
- Apache Spark
- Familiarity with Presto and/or Trino
- Experience with AWS big-data services
- Understanding of data connections, integrations, and data flows
- Experience using GenAI tools for code generation
- GenAI will also be incorporated into the solution itself, not just used as a developer productivity tool
Ideal Candidate: This is not purely a traditional data-engineering role. They want a strong application/software engineer who is comfortable working with data-intensive systems, algorithms, AWS, and distributed data technologies.
Overall Candidate Themes
Across the openings, the strongest candidates will combine solid software engineering fundamentals, AWS experience, production-system experience, and practical familiarity with GenAI-assisted development. Pradeep's roles lean more toward GenAI-enabled investigation applications and integrations, while Venkat's roles are more data- and algorithm-heavy, with greater emphasis on Spark, ETL, Athena, Glue, and large-scale trade data.
Never miss an opportunity! Create an alert based on the job you applied for.